Supported by the National Natural Science Foundation of China (60372057)
A new blind equalization algorithm based on the modified constant modulus algorithm (MCMA) and dithered signederror constant modulus algorithm (DSE-CMA) is proposed. This dithered signed-error MCMA (DSE-MCMA) ca...
Supported by the National Natural Science Foundation of China (60372057)
This paper presents an improved rate control method for H.264. First, the scene changes are detected by the average absolute difference of the brightness histograms between the adjacent frames. Then, the bit allocatio...
the National Nature Science Foundation of China (60372057).
To study the scene classification in the Synthetic Aperture Radar (SAR) image, a novel method based on kernel estimate, with the Maxkov context and Dempster-Shafer evidence theory is proposed. Initially, a nonpaxame...